We also consider unilateral data sharing where agents can assess the value of data and can trade data for money. An example of this paradigm arises in the case of renewable energy forecasts [1]}. Here we build on the seminal work of [2]}, and study conditions that allow existence of competitive prices in these markets which also implement social-welfare-maximizing sharing. Our data sharing model is a one-sided, many-to-many sharing protocol, limited to trading of a single indivisible good in each directed trade. We show that if the agents' cost of sharing is additive with respect to the agents that gain access to their data, then there exists set of competitive prices, and every social-welfare-maximizing outcome can be implemented with such competitive prices in a way that it will be a stable outcome.
